DocumentCode :
684847
Title :
The method of masticatory movement noise reduction using the dual channel implantable microphone
Author :
Woo, S.T. ; Kim, D.W. ; Lee, Seung Beop ; Park, Jae Hyo ; Seong, K.W. ; Lee, J.H. ; Cho, Jang Hwan
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
1
Lastpage :
3
Abstract :
The input part of fully implantable hearing devices (FIHDs) was using the implantable microphone that was implanted under the skin of the temporal bone. So, implantable microphone`s characteristics can be affected by the masticatory movement and moving artifacts. In this paper, the 2-channel implantable microphone was designed for masticatory movement noise reduction. For in vivo experiment, the fabricated microphone was implanted in the rabbit. And then, the 1 kHz pure-tone sound by a speaker was applied to the rabbit, and the feeds were given simultaneously to the rabbit. The measured signal was processed using the adaptive filter with least mean square (LMS) algorithm for noise reduction. To confirm performance of proposed method, the correlation coefficient and signal to noise ratio (SNR) before and after the signal processing were calculated.
Keywords :
adaptive filters; bone; cochlear implants; correlation methods; least mean squares methods; medical signal processing; microphones; otoacoustic emissions; signal denoising; 2-channel implantable microphone; FIHD; adaptive filter; correlation coefficient; dual channel implantable microphone; frequency 1 kHz; fully implantable hearing devices; implantable microphone characteristics; least mean square algorithm; masticatory movement noise reduction; moving artifacts; pure-tone sound; signal processing; signal to noise ratio; speaker; temporal bone skin; Implantable microphone; adaptive filter; fully implantable hearing devices; in vivo experiment; masticatory movement;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information Science and Control Engineering 2012 (ICISCE 2012), IET International Conference on
Conference_Location :
Shenzhen
Electronic_ISBN :
978-1-84919-641-3
Type :
conf
DOI :
10.1049/cp.2012.2433
Filename :
6755812
Link To Document :
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